Research within the PRONTO Project is resulting in tangible high-quality outcomes published in the form of conference proceedings, journal papers and talks available on PRONTO ResearchGate page.

Pronto outputs are carefully listed in the H2020 European Platform for Open Access “OpenAir”. Please navigate through the following link:

https://www.openaire.eu/search/project?projectId=corda__h2020::667c97282089d917fb5b9cf124e540c4

  • Stief, A., Ottewill, J.R., Orkisz, M., Baranowski, J., 2017, Two stage data fusion of acoustic, electric and vibration signals for diagnosing faults in induction motors, to appear in Elektronika ir Elektrotechnika, December 2017. http://dx.doi.org/10.5755/j01.eie.23.6.19690
  • Baranowski, J., Bania, P., Prasad, I., Cong, T., 2017, Bayesian fault detection and isolation using field Kalman filter, EURASIP Journal on Advances in Signal Processing, 2017:79, 1-11, http://dx.doi.org/10.1186/s13634-017-0514
  • Tan, R., Cao, Y., Deviation contribution plots of multivariate statistics, Accepted for IEEE Transactions on Industrial Informatics
  • Leo, E., Engell, S., 2018, Integrated day-ahead energy procurement and production scheduling,  Automatisierungtechnik, article in Press

  • Stief, A., Tan, R., Cao, Y., Ottewill, J.R., 2018, Condition monitoring analytics of heterogeneous process data: multiphase flow facility case study, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Lucke, M., Chioua, M., Grimholt, C., Hollender, M., Thornhill, N.F., 2018, Online alarm flood identification using alarm coactivations, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Stief, A., Ottewill, J.R., Orkisz, M., Baranowski, J., 2017, Two stage data fusion of acoustic, electric and vibration signals for diagnosing faults in induction motors, Electronics 2017, 19th-21st June 2017, Palanga, Lithuania
  • Tan, R., Samuel, R.T., Cao, Y., 2017, Multimode nonlinear dynamic process monitoring of a multiphase flow facility, European Symposium on Computer-Aided Process Engineering (ESCAPE-27),  Barcelona, Spain, Oct 1-5, 2017.
  • Tan, R., Cao, Y., 2017, Contribution plots based fault diagnosis of a multiphase flow facility with PCA-enhanced Canonical Variate Analysis, 23rd International Conference on Automation and Computing (ICAC’17), Huddersfield, UK, Sep 7-8, 2017.

  • Bradford, E., and Imsland, L., Stochastic nonlinear model predictive control using Gaussian processes, European Control Conference 2018 (ECC 2018).
  • Schulze Spüntrup, F., Londoño, J.G., Skourup, C., Thornhill, N.F., and Imsland, L., 2018, Reliability improvement of compressors based on asset fleet reliability data, 3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, Esbjerg, Denmark, May 30 – June 01, 2018
  • Leo, E., Engell, S. , A two-stage stochastic programming approach to integrated short-term electricity procurement and production scheduling, European Symposium on Computer-Aided Process Engineering 2018 (ESCAPE-28)
  • Dalle Ave, G., Wang, X., Harjunkoski, I., Engell, S., A heuristic neighborhood search-based approach for the solution of resource-task network scheduling problems, European Symposium on Computer-Aided Process Engineering 2018 (ESCAPE-28)
  • Leo, E., Engell, S., Multi-stage integrated electricity procurement and production scheduling, PSE 2018
  • Dalle Ave, G., Harjunkoski, I., Engell, S., Industrial demand side management formulation for simultaneous electricity load commitment and future load prediction, PSE 2018
  • Bradford, E., Imsland, L., Economic model predictive control of batch processes using parameterized control policies, PSE 2018
  • Schulze Spüntrup, F., Imsland, L. Asset fleet management in the process industry – a conceptual model, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Bradford, E., Imsland, L., Economic stochastic nonlinear model predictive control using the square-root unscented Kalman filter, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Schulze Spüntrup, F., 2017, A data-based decision support system for compressor fleet energy management, Advances in Process Automation and Control 2017, 14th June 2017, Birmingham, UK.
  • Bradford, E., Imsland, L., 2017, Expectation constrained stochastic nonlinear model predictive control of a bioreactor, European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona, Spain, Oct 1-5, 2017.
  • Leo, E., Engell, S., 2017, Condition-based operational optimization of industrial combined heat and power plants under time-sensitive electricity prices, European Symposium on Computer-Aided Process Engineering (ESCAPE-27), Barcelona, Spain, Oct 1-5, 2017.

  • Zagorowska, M., Thornhill, N.F., and Skourup, C., 2018, Dynamic modelling and control of a compressor using Chebyshev polynomial approximation, ASME Turbo Expo 2018
  • Galan, A., De Prada, C., Gutierrez, G., Sarabia, D., Gonzalez, R., Sola, M., Marmol, S., Validation of a hydrogen network RTO application for decision support of refinery operators, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Gutierrez, G., Galan, A., Sarabia, D., De Prada, C., Two-stage stochastic optimization of a hydrogen network, 10th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM 2018)
  • Zagorowska, M., Thornhill, N.F., Haugen, T., and Skourup, C., 2018, Load-sharing strategy taking account of compressor degradation, 2nd IEEE Conference on Control Technology and Applications, Copenhagen, August 21-24, 2018.
  • Borghesan, F., Chioua, M., and Thornhill, N.F., MPC with disturbance forecasting for the control of the level of a tank with limited buffer capacity, IEEE Med Conference, 2018.
  • Borghesan, F., Thornhill, N.F., Chioua, M., Forecast of persistent disturbances in process systems using a k-nearest neighbor and a weighted k-nearest neighbor method, PSE 2018.
  • Wu, O., Bouaswaig, A.E.F., Schneider, S.M., Leira, F.M., Imsland, L., and Roth, M., 2018, Data-driven degradation model for batch processes: a case study on heat exchanger fouling, European Symposium on Computer-Aided Process Engineering 2018 (ESCAPE-28).
  • Zagorowska, M., and Thornhill, N.F., 2017, Compressor map approximation using Chebyshev polynomials, 25th Mediterranean Conference on Control and Automation, 3-6 July 2017, Valetta, Malta, pp 864-869.
  • Galan, A., De Prada, C., Gutierreza, G., Sarabia, D., González, R., Sola, M., Marmol, S., Pascua, C., 2017, Resource efficiency indicators usefulness for decision-making process of operators: refinery hydrogen network case study. European Symposium on Computer-Aided Process Engineering (ESCAPE-27),  Barcelona, Spain, Oct 1-5, 2017
  • Galan, A., De Prada, C., Gutierrez, G., Sarabia, D.,  González, R., 2017, Dynamic simulation applied to refinery hydrogen networks, XXXVIII Jornadas de Automática JA2017 (Conference on Automation, Gijón, Spain, 6-8 September 2017

  • Schulze Spüntrup, F., 2017, A data-based decision support system for compressor fleet energy management, Presentation from Advances in Process Automation and Control 2017, 14th June 2017, Birmingham, UK.